The present study aims to obtain a probability model allowing prediction of auditory recovery in patients affected by sudden sensorineural hearing loss treated exclusively with intratympanic steroids. A monocentric retrospective chart review of 381 patients has been performed. A Probit model was used to investigate the correlation between the success of treatment (marked or total recovery according to Furuashi’s criteria) and the delay between onset of disease and beginning of therapy. The age of patients and audiometric curve shapes were included in the analysis. The results show that delay is negatively correlated with variable success. Considering the entire sample, each day of delay decreases the probability of success by 3%. The prediction model shows that for each day that passes from the onset of the disease the prob- ability of success declines in absence of the medical treatment, hence we conclude that early treatment is strongly recommended.
Prediction of hearing recovery in sudden deafness treated with intratympanic steroids / Attanasio, G.; YOSHIE RUSSO, F.; DI PORTO, E.; Cagnoni, L.; Masci, E.; Ralli5, M.; Greco, A.; DE VINCENTIIS, M.. - In: ACTA OTORHINOLARYNGOLOGICA ITALICA. - ISSN 0392-100X. - 38:(2018), pp. 1-7.
Prediction of hearing recovery in sudden deafness treated with intratympanic steroids
E. DI PORTO;
2018
Abstract
The present study aims to obtain a probability model allowing prediction of auditory recovery in patients affected by sudden sensorineural hearing loss treated exclusively with intratympanic steroids. A monocentric retrospective chart review of 381 patients has been performed. A Probit model was used to investigate the correlation between the success of treatment (marked or total recovery according to Furuashi’s criteria) and the delay between onset of disease and beginning of therapy. The age of patients and audiometric curve shapes were included in the analysis. The results show that delay is negatively correlated with variable success. Considering the entire sample, each day of delay decreases the probability of success by 3%. The prediction model shows that for each day that passes from the onset of the disease the prob- ability of success declines in absence of the medical treatment, hence we conclude that early treatment is strongly recommended.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.